Modeling Urban Behavior by Mining Geotagged Social Data

Author:

Celikten Emre,Le Falher Geraud,Mathioudakis Michael

Funder

European Community’s H2020

Research Infrastructures

Social Mining & Big Data Ecosystem

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Information Systems and Management,Information Systems

Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Scoping out urban areas of tourist interest though geolocated social media data: Bucharest as a case study;Information Technology & Tourism;2022-09

2. Mining Composite Spatio-Temporal Lifestyle Patterns from Geotagged Social Data;2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics);2022-08

3. Trustworthiness Evaluation-Based Routing Protocol for Incompletely Predictable Vehicular Ad Hoc Networks;IEEE Transactions on Big Data;2022-02-01

4. AOI-shapes: An Efficient Footprint Algorithm to Support Visualization of User-defined Urban Areas of Interest;ACM Transactions on Interactive Intelligent Systems;2021-12-31

5. Measuring spatio-textual affinities in twitter between two urban metropolises;Journal of Computational Social Science;2021-06-02

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